Article(id=1305136270544491091, tenantId=1146029695717560320, journalId=1303687221787852879, issueId=1305136265016398371, articleNumber=null, orderNo=null, doi=10.7606/j.issn.1009-1041.2025.01.12, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1698768000000, receivedDateStr=2023-11-01, revisedDate=1705939200000, revisedDateStr=2024-01-23, acceptedDate=null, acceptedDateStr=null, onlineDate=1789098335157, onlineDateStr=2026-09-11, pubDate=1736870400000, pubDateStr=2025-01-15, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1789098335157, onlineIssueDateStr=2026-09-11, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1789098335157, creator=13701087609, updateTime=1789098335157, updator=13701087609, issue=Issue{id=1305136265016398371, tenantId=1146029695717560320, journalId=1303687221787852879, year='2025', volume='45', issue='1', pageStart='1', pageEnd='140', issueExtLink='null', onlineDate='null', pubDate='1736870400000', pubDateStr='2025-01-15', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1789098333839, creator='13701087609', updateTime=1789103362193, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1305157355486859379, tenantId=1146029695717560320, journalId=1303687221787852879, issueId=1305136265016398371, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1305157355491053684, tenantId=1146029695717560320, journalId=1303687221787852879, issueId=1305136265016398371, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=103, endPage=111, ext={EN=ArticleExt(id=1305136272398373460, articleId=1305136270544491091, tenantId=1146029695717560320, journalId=1303687221787852879, language=EN, title=Optimization of Water and Nitrogen Management Mode for Spring Wheat under Different Precipitation Year Types Based on APSIM Model, columnId=1305133133406433355, journalTitle=Journal of Triticeae Crops, columnName=Physiology, Ecology and Cultivation, runingTitle=null, highlight=null, articleAbstract=

In order to optimize the management decision-making scheme for high and stable yield of spring wheat and efficient utilization of water and nitrogen resources under different precipitation year types, the key parameters for wheat growth and development in the APSIM-wheat model based on the experimental data of spring wheat (Neimai 19) at the Shangkulini Farm Experimental Station and the Labudalin Farm Experimental Station in Eerguna City of Inner Mongolia Autonomous Region from 2009 to 2012 were determined. Using the calibrated APSIM-wheat model, the growth and development process of spring wheat under rain-fed conditions from 1967 to 2017 was simulated and analyzed. Three precipitation types (dry, normal, and wet) were identified based on precipitation, and the optimal water management periods were determined using the soil water deficit on photosynthesis (SWDef). Scenario models were designed with eight irrigation gradients (15, 30, 45, 60, 90, 120, 150, and 180mm) and thirteen N fertilization gradients (30, 45, 60, 75, 90, 105, 120, 150, 180, 210, 240, 270, and 300 kg·hm-2), and combined with key indicators for water and nitrogen management decision-making (water use efficiency, nitrogen use efficiency, and yield), the optimal water and nitrogen management modes for spring wheat under different precipitation types were explored. The results showed that: (1)The root mean square error (RMSE) of the simulated values of the spring wheat development stage module (emergence, heading, and maturation) in the calibrated APSIM-wheat model ranged from 1.17 to 3.64 days, and the normalized root mean square error (NRMSE) ranged from 0.82% to 1.90%. The RMSE and NRMSE between the simulated and observed values of the yield module were 371.50 kg·hm-2 and 8.54%, respectively, indicating that the APSIM-wheat model can well reflect the dynamic growth and development process of wheat under different precipitation types. (2)The SWDef during spring wheat tillering stage to jointing stage, jointing stage to heading stage, and heading stage to anthesis stages under rain-fed conditions were relatively lower, and under the premise of only one irrigation during the growth stage, irrigation during the jointing stage could alleviate drought stress and significantly improve yield. (3)The optimal water and nitrogen management modes during the jointing stage for spring wheat under wet, normal, and dry precipitation types were irrigation of 60 mm and N fertilization of 105 kg·hm-2, irrigation of 60 mm and N fertilization of 120 kg·hm-2, and irrigation of 30 mm and N fertilization of 150 kg·hm-2, respectively. The corresponding yields were 4 810.96±551.43 kg·hm-2, 5 378.06±768.86 kg·hm-2, and 6 421.33±454.09 kg·hm-2.

, authors=Lu WU1, Chen CHENG2, Feiyun YANG1, Dongliang FAN1, Jiangmei LUO1, Jiarui Han1, Tianshu WANG1, Erjing GUO1, authorsList=Lu WU, Chen CHENG, Feiyun YANG, Dongliang FAN, Jiangmei LUO, Jiarui Han, Tianshu WANG, Erjing GUO, authorCompany=null, correspAuthors=Feiyun YANG, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1305136272683586133, articleId=1305136270544491091, tenantId=1146029695717560320, journalId=1303687221787852879, language=CN, title=基于APSIM模型的不同降水年型下春小麦水氮管理模式优化研究, columnId=1305133133590982733, journalTitle=麦类作物学报, columnName=生理、生态与栽培, runingTitle=null, highlight=null, articleAbstract=

为优化不同降水年型下春小麦高产稳产和高效利用水氮资源的管理决策方案,利用2009-2012年内蒙古自治区额尔古纳市上库力农场试验站与拉布大林农场试验站春小麦(内麦19)的试验观测资料,确定APSIM-wheat模型中小麦生长发育关键参数;基于校准后的APSIM-wheat模型模拟分析1967-2017年雨养条件下春小麦生长发育过程,并依据降水量划分了3种降水年型(干旱、平水和湿润年型),根据土壤水分亏缺指数(soil water deficit on photosynthesis, SWDef)确定最优水分管理时期;设计8个灌溉量梯度(15、30、45、60、90、120、150和180 mm)和13个施N量梯度(30、45、60、75、90、105、120、150、180、210、240、270和300 kg·hm-2)情景模式,结合水氮管理决策的遴选关键指标[水分利用效率(water use efficiency, WUE)、氮肥利用效率(nitrogen use efficiency, NUE)和产量],探究不同气候年型下最优春小麦水氮管理模式。结果表明:(1)校准后的APSIM-wheat模型春小麦发育期模块(出苗期、抽穗期和成熟期)模拟值与观测值的均方根误差(root mean square error, RMSE)在1.17~3.64 d范围内,归一化均方根误差(normalized root mean square error, NRMSE)在0.82%~1.90%范围内;产量模块模拟值与观测值的RMSE为371.50 kg·hm-2,NRMSE为8.54 %,说明APSIM-wheat模型可以较好地反映不同降水年型下小麦的动态生长发育过程。(2)雨养条件下春小麦分蘖期—拔节期、拔节期—抽穗期和抽穗期—开花期的SWDef较低,且在生育期内仅灌溉一次的前提下,拔节期灌溉可以减轻干旱胁迫并显著提高产量。(3)干旱、平水和湿润年型春小麦拔节期最优水氮管理模式分别为灌溉量60 mm和施氮量105 kg·hm-2、灌溉量60 mm和施氮量120 kg·hm-2、灌溉量30 mm和施氮量150 kg·hm-2,其产量分别为4 810.96±551.43、5 378.06±768.86和6 421.33±454.09 kg·hm-2

, authors=伍露1, 程陈2, 杨霏云1, 樊栋樑1, 罗蒋梅1, 韩佳芮1, 王天舒1, 郭尔静1, authorsList=伍露, 程陈, 杨霏云, 樊栋樑, 罗蒋梅, 韩佳芮, 王天舒, 郭尔静, authorCompany=null, correspAuthors=杨霏云, authorNote=

E-mail: (伍露)

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基于APSIM模型的不同降水年型下春小麦水氮管理模式优化研究
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伍露 1 , 程陈 2 , 杨霏云 1 , 樊栋樑 1 , 罗蒋梅 1 , 韩佳芮 1 , 王天舒 1 , 郭尔静 1
麦类作物学报 | 生理、生态与栽培 2025,45(1): 103-111
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麦类作物学报 |生理、生态与栽培 2025 , 45 (1) : 103 -111
基于APSIM模型的不同降水年型下春小麦水氮管理模式优化研究
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伍露1 , 程陈2, 杨霏云1 , 樊栋樑1, 罗蒋梅1, 韩佳芮1, 王天舒1, 郭尔静1
作者信息
  • 1.中国气象局气象干部培训学院,北京 100081
  • 2.丽水学院生态学院,浙江 丽水 323000
通讯作者:
E-mail: (杨霏云)
作者简介:

E-mail: (伍露)

Optimization of Water and Nitrogen Management Mode for Spring Wheat under Different Precipitation Year Types Based on APSIM Model
Lu WU1 , Chen CHENG2, Feiyun YANG1 , Dongliang FAN1, Jiangmei LUO1, Jiarui Han1, Tianshu WANG1, Erjing GUO1
Affiliations
  • 1.China Meteorological Administration Training Center, Beijing 100081, China
  • 2.College of Ecology, Lishui University, Lishui, Zhejiang 323000, China
出版时间: 2025-01-15 doi: 10.7606/j.issn.1009-1041.2025.01.12
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为优化不同降水年型下春小麦高产稳产和高效利用水氮资源的管理决策方案,利用2009-2012年内蒙古自治区额尔古纳市上库力农场试验站与拉布大林农场试验站春小麦(内麦19)的试验观测资料,确定APSIM-wheat模型中小麦生长发育关键参数;基于校准后的APSIM-wheat模型模拟分析1967-2017年雨养条件下春小麦生长发育过程,并依据降水量划分了3种降水年型(干旱、平水和湿润年型),根据土壤水分亏缺指数(soil water deficit on photosynthesis, SWDef)确定最优水分管理时期;设计8个灌溉量梯度(15、30、45、60、90、120、150和180 mm)和13个施N量梯度(30、45、60、75、90、105、120、150、180、210、240、270和300 kg·hm-2)情景模式,结合水氮管理决策的遴选关键指标[水分利用效率(water use efficiency, WUE)、氮肥利用效率(nitrogen use efficiency, NUE)和产量],探究不同气候年型下最优春小麦水氮管理模式。结果表明:(1)校准后的APSIM-wheat模型春小麦发育期模块(出苗期、抽穗期和成熟期)模拟值与观测值的均方根误差(root mean square error, RMSE)在1.17~3.64 d范围内,归一化均方根误差(normalized root mean square error, NRMSE)在0.82%~1.90%范围内;产量模块模拟值与观测值的RMSE为371.50 kg·hm-2,NRMSE为8.54 %,说明APSIM-wheat模型可以较好地反映不同降水年型下小麦的动态生长发育过程。(2)雨养条件下春小麦分蘖期—拔节期、拔节期—抽穗期和抽穗期—开花期的SWDef较低,且在生育期内仅灌溉一次的前提下,拔节期灌溉可以减轻干旱胁迫并显著提高产量。(3)干旱、平水和湿润年型春小麦拔节期最优水氮管理模式分别为灌溉量60 mm和施氮量105 kg·hm-2、灌溉量60 mm和施氮量120 kg·hm-2、灌溉量30 mm和施氮量150 kg·hm-2,其产量分别为4 810.96±551.43、5 378.06±768.86和6 421.33±454.09 kg·hm-2

APSIM-wheat模型  /  气候年型  /  春小麦  /  产量  /  水分利用效率  /  氮素利用效率  /  管理模式

In order to optimize the management decision-making scheme for high and stable yield of spring wheat and efficient utilization of water and nitrogen resources under different precipitation year types, the key parameters for wheat growth and development in the APSIM-wheat model based on the experimental data of spring wheat (Neimai 19) at the Shangkulini Farm Experimental Station and the Labudalin Farm Experimental Station in Eerguna City of Inner Mongolia Autonomous Region from 2009 to 2012 were determined. Using the calibrated APSIM-wheat model, the growth and development process of spring wheat under rain-fed conditions from 1967 to 2017 was simulated and analyzed. Three precipitation types (dry, normal, and wet) were identified based on precipitation, and the optimal water management periods were determined using the soil water deficit on photosynthesis (SWDef). Scenario models were designed with eight irrigation gradients (15, 30, 45, 60, 90, 120, 150, and 180mm) and thirteen N fertilization gradients (30, 45, 60, 75, 90, 105, 120, 150, 180, 210, 240, 270, and 300 kg·hm-2), and combined with key indicators for water and nitrogen management decision-making (water use efficiency, nitrogen use efficiency, and yield), the optimal water and nitrogen management modes for spring wheat under different precipitation types were explored. The results showed that: (1)The root mean square error (RMSE) of the simulated values of the spring wheat development stage module (emergence, heading, and maturation) in the calibrated APSIM-wheat model ranged from 1.17 to 3.64 days, and the normalized root mean square error (NRMSE) ranged from 0.82% to 1.90%. The RMSE and NRMSE between the simulated and observed values of the yield module were 371.50 kg·hm-2 and 8.54%, respectively, indicating that the APSIM-wheat model can well reflect the dynamic growth and development process of wheat under different precipitation types. (2)The SWDef during spring wheat tillering stage to jointing stage, jointing stage to heading stage, and heading stage to anthesis stages under rain-fed conditions were relatively lower, and under the premise of only one irrigation during the growth stage, irrigation during the jointing stage could alleviate drought stress and significantly improve yield. (3)The optimal water and nitrogen management modes during the jointing stage for spring wheat under wet, normal, and dry precipitation types were irrigation of 60 mm and N fertilization of 105 kg·hm-2, irrigation of 60 mm and N fertilization of 120 kg·hm-2, and irrigation of 30 mm and N fertilization of 150 kg·hm-2, respectively. The corresponding yields were 4 810.96±551.43 kg·hm-2, 5 378.06±768.86 kg·hm-2, and 6 421.33±454.09 kg·hm-2.

APSIM-wheat model  /  Climate year types  /  Spring wheat  /  Yield  /  Water use efficiency  /  Nitrogen use efficiency  /  Management mode
伍露, 程陈, 杨霏云, 樊栋樑, 罗蒋梅, 韩佳芮, 王天舒, 郭尔静. 基于APSIM模型的不同降水年型下春小麦水氮管理模式优化研究. 麦类作物学报, 2025 , 45 (1) : 103 -111 . DOI: 10.7606/j.issn.1009-1041.2025.01.12
Lu WU, Chen CHENG, Feiyun YANG, Dongliang FAN, Jiangmei LUO, Jiarui Han, Tianshu WANG, Erjing GUO. Optimization of Water and Nitrogen Management Mode for Spring Wheat under Different Precipitation Year Types Based on APSIM Model[J]. Journal of Triticeae Crops, 2025 , 45 (1) : 103 -111 . DOI: 10.7606/j.issn.1009-1041.2025.01.12
  • 中国气象局创新发展专项(CXFZ2022J053)
  • 国家自然科学基金项目(32101294)
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doi: 10.7606/j.issn.1009-1041.2025.01.12
  • 接收时间:2023-11-01
  • 首发时间:2026-09-11
  • 出版时间:2025-01-15
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  • 收稿日期:2023-11-01
  • 修回日期:2024-01-23
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中国气象局创新发展专项(CXFZ2022J053)
国家自然科学基金项目(32101294)
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    1.中国气象局气象干部培训学院,北京 100081
    2.丽水学院生态学院,浙江 丽水 323000

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E-mail: (杨霏云)
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
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红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
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